{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#base设置\n",
    "sns.set(rc={\"figure.figsize\":(10,6)})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 调色板 ###\n",
    "* 颜色很重要\n",
    "* color_palette()能传入任何Matplotlib所支持的颜色\n",
    "* color_palette()不写参数则默认颜色\n",
    "* set_palette()设置所有图的颜色\n",
    "\n",
    "### 分类色板 ###    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFyAkugChH0lkImw48q9zAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x58e7c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "current_palette = sns.color_palette()##默认的情况将就是这六种渐进色\n",
    "sns.palplot(current_palette)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6个默认的颜色循环主题： deep, muted, pastel, bright, dark, colorblind"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 圆形画板 ###\n",
    "\n",
    "当你有六个以上的分类要区分时，最简单的方法就是在一个圆形的颜色空间中画出均匀间隔的颜色(这样的色调会保持亮度和饱和度不变)。这是大多数的当他们需要使用比当前默认颜色循环中设置的颜色更多时的默认方案。\n",
    "\n",
    "最常用的方法是使用hls的颜色空间，这是RGB值的一个简单转换。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAABECAYAAAAMTwWHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc805160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.color_palette('hls',8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data=np.random.normal(size=(20,8))+np.arange(8)/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xce4b4a8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd8AAAFkCAYAAABhDTHuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nsIzyBQDAMsoXAADLKF8AACz7f1sE10DB841dAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcdcda90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=data,palette=sns.color_palette(\"hls\",8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "hls_palette()函数来控制颜色的亮度和饱和\n",
    "* l-亮度 lightness \n",
    "* s-饱和 saturation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAABECAYAAAAMTwWHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAASCCQCBYAJAIJgAEAgmAATfzCona3CDSl4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd1f5d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.hls_palette(8,l=0.5,s=0.8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 如何设置多组颜色并且每一组中颜色属于渐进色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAABECAYAAAAMTwWHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAAa9JREFUeJzt2zFOVUEAhtF5hF2ACRugIHEB9oQF\nWFFpTWNh9zoLGmuoqFiAsXcBJhRugETYhb7LBgx+zWU0OWcFf/dlJjObZVmWAQA8a2/2AAD4Hwgm\nAASCCQCBYAJAIJgAEDwbzN87D2gBYIwxNn/7VnJ79/BSW17c25PDcfTx6+wZq7n/dDq+3F/OnrGa\ns6MP4/XN8ewZq/h+/mP8ur6aPWM1++/ej4eDV7NnrObw8efYfbuYPWM1e28+j7HdzJ6xnu2fs+hK\nFgACwQSAQDABIBBMAAgEEwACwQSAQDABIBBMAAgEEwACwQSAQDABIBBMAAgEEwACwQSAQDABIBBM\nAAgEEwACwQSAQDABIBBMAAgEEwACwQSAQDABIBBMAAgEEwACwQSAQDABIBBMAAgEEwACwQSAQDAB\nIBBMAAgEEwACwQSAQDABIBBMAAgEEwACwQSAQDABIBBMAAgEEwACwQSAQDABIBBMAAgEEwACwQSA\nQDABIBBMAAgEEwACwQSAQDABIBBMAAgEEwCCzbIsy+wRAPCvc8IEgEAwASAQTAAIBBMAAsEEgEAw\nASB4AnVdJnSChxBpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd296d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.color_palette(\"Paired\",8)) #整个很有意思"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  使用xkcd颜色来命名颜色 ###\n",
    "xkcd包含了一套众包努力的针对随机RGB色的命名。产生了954个可以随时通过xkcd_rgb字典中调用的命名颜色。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xd1f4eb8>]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RjE9NTcC/bcrF9DStTJWRr2OIIiIiv9Rjs+PTw+dhOndT0rIgJjIUb67JRH7WVLYsoO+E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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd2b3160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([0,1],[0,1],sns.xkcd_rgb[\"pale red\"], lw=3)\n",
    "plt.plot([0,1],[0,2], sns.xkcd_rgb[\"medium green\"], lw=3)\n",
    "plt.plot([0,1],[0,3],sns.xkcd_rgb[\"denim blue\"], lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#常用颜色库识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAASUAAABECAYAAADHuCM8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd285b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = [\"windows blue\", \"amber\", \"greyish\", \"faded green\", \"dusty purple\"]\n",
    "sns.palplot(sns.xkcd_palette(colors))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  连续色板 ###\n",
    "色彩随数据变换，比如数据越来越重要则颜色越来越深"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEl2AkOgChL4BZGskdsjjjE8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcbad4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.color_palette(\"Blues\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果想要翻转渐变，可以在面板名称中添加一个_r后缀"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngJDoAoREFyD0A2TQIWYXG1y5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe3bf5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.color_palette(\"Greens_r\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  cubehelix_palette()调色板 ###  \n",
    "色调线性变换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAABECAYAAAAMTwWHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAsEEgOAZHOsnZt6ynhAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe3fdd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.color_palette(\"cubehelix\", 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAABECAYAAAAMTwWHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAAbdJREFUeJzt2y1uVUEAhuFzuxGCbFKDRJBWoOpY\nABSFw5Dg2jSkdSSYOhQ/C6hDIbhBVNaQIEk3cg8bIO1rzp2SPI8c9bk3M8ms5nmeJwDgVjujBwDA\n/0AwASAQTAAIBBMAAsEEgODWYG42m23tAIB7bXXXt5Lff35sacr27T48mC6vv4yesZhnj15MZ98v\nRs9YzMnT19PR1w+jZyzi8/M30+H5+9EzFvPt+O20//J09IzFrD+9mx4/eTV6xmKufn6c9h7sj56x\nmF8363+ee5IFgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAw\nASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEE\ngEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMA\nAsEEgEAwASAQTAAIBBMAAsEEgEAwASAQTAAIBBMAAsEEgGA1z/M8egQA3HdumAAQCCYABIIJAIFg\nAkAgmAAQCCYABH8BUwQndF6ALnUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe44aef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.cubehelix_palette(8, start=.5, rot=-.75))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcwAAABECAYAAAAMTwWHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEEwACAQTAALBBIDgFLvcJ3afPIijAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe4abdd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.cubehelix_palette(8, start=.75, rot=-.150))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  light_palette() 和dark_palette()调用定制连续调色板  ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKFoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe464cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.light_palette(\"green\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZdDeoOgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe53bba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.dark_palette(\"purple\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmpcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe5b0390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.light_palette(\"navy\", reverse=True)) #反转由深到浅"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YGxvmEmP8lUv8vOQHduwLB6BFcCuemf4C7Vp1MEj5VYmNPc63337FmTOnUCgU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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe5b5588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x, y = np.random.multivariate_normal([0, 0], [[1, -.5], [-.5, 1]], size=300).T\n",
    "pal = sns.dark_palette(\"green\", as_cmap=True) #设置调色板\n",
    "sns.kdeplot(x, y, cmap=pal);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 调色板颜色区间 ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABECAYAAAAiJuZQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCIkuQEh0AULfTCYggdyvdwwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe4b1d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.light_palette((210, 90, 60), input=\"husl\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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